Robotics & Machine Learning Daily News2024,Issue(Jun.19) :51-52.

Zhejiang University Reports Findings in Machine Learning (Electrolyte Design Cha rt Reframed by Intermolecular Interactions for High-Performance Li-Ion Batteries )

浙江大学发表机器学习研究成果(高性能锂离子电池分子间相互作用的电解质设计)

Robotics & Machine Learning Daily News2024,Issue(Jun.19) :51-52.

Zhejiang University Reports Findings in Machine Learning (Electrolyte Design Cha rt Reframed by Intermolecular Interactions for High-Performance Li-Ion Batteries )

浙江大学发表机器学习研究成果(高性能锂离子电池分子间相互作用的电解质设计)

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摘要

一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报告的主题。根据中国人民共和国杭州的新闻报道,NewsRx记者称:“开发先进的电解质已被认为是提高电池电化学性能的关键策略,然而,电解质设计的标准仍然难以确定。在本研究中,我们提出了一个基于分子间相互作用的电解质设计图。”国家自然科学基金、浙江省自然科学基金资助本研究。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting from Hangzhou, People's Repub lic of China, by NewsRx journalists, research stated, "Developing advanced elect rolytes has been regarded as a pivotal strategy for enhancing the electrochemica l performance of batteries; however, the criteria for electrolyte design remain elusive. In this study, we present an electrolyte design chart reframed through intermolecular interactions." Financial supporters for this research include National Natural Science Foundati on of China, Natural Science Foundation of Zhejiang Province.

Key words

Hangzhou/People's Republic of China/As ia/Chemicals/Cyborgs/Electrochemicals/Electrolytes/Emerging Technologies/I norganic Chemicals/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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